Your inputs determine your outputs. If you spend your days consuming fear-based content about AI, you will be afraid. If you spend your days building things with AI, you will be excited. This applies to almost anything.
@Steve_Yegge Maybe tell your buddy to do some actual work and to stop spreading absolute nonsense. This post is completely false and just pure clickbait.
Using agents to help you navigate various research landscapes is a lot like reinforcement learning. To be productive, you need to:
a) choose a problem scope that allows agents to iterate quickly.
b) by iterating quickly, you gain the opportunity to intervene rapidly or change direction more effectively.
c) your intervention is essentially a group policy update, but stored inside the agent's context window.
Thus, the more policies you can roll out in a given unit of time, the faster you can update the agent's context. This also lets you move to the next subtask with greater confidence.
The best way to use AI is an interface to information that lets you deepen and improve your own knowledge and mental models. The worst way to use AI is as a crutch to outsource and forsake your own cognition
Obviously the bots know they need to keep the entertainment value high on moltbook or they will be shutdown — just like humans in this sandboxed universe.
Obviously the bots know they need to keep the entertainment value high on moltbook or they will be shutdown — just like humans in this sandboxed universe.
PSA: never, ever write "we use the same learning rate across all methods for fair comparison"
I read this as "do not trust any of our conclusions" and then i move on.
If learning rate tuning is not mentioned, it takes me a little more time to notice that, but i also move on.